Natural Language Data Querying- Big Query Data QnA
AIEngineering AIEngineering
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 Published On Feb 1, 2021

#datascience #machinelearning #nlp

Data QnA helps enable your business users to get answers to their analytical queries through natural language questions, without burdening business intelligence (BI) teams. This means that a business user like a sales manager can simply ask a question on their company’s dataset, and get results back that same way

Data QnA to make it easier for non-technical users to access the data insights they need through natural language understanding techniques—all while maintaining the business’s governance and security controls. Data QnA is based on the Analyza system developed here at Google Research. Analyza uses semantic parsing for analyzing and exploring data using conversation, i.e., doing entity and intent recognition, then mapping to the underlying business datasets. Data QnA enables anyone to conversationally analyze petabytes of data stored in BigQuery and federated data sources

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